Performance improvements from decision-delay adaption in adaptive MLSE equalizers

Iain B. Collings*, Dae Han Won

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


This paper analyzes a fully adaptive maximum-likelihood sequence estimator (MLSE) equalizer in fast fading channel conditions. The receiver adaptively estimates the channel state information, and also adapts to learn the channel fading statistics. The equalizer is analyzed using pairwise error probabilities to derive lower bounds on performance. A decision delay adaption rule is proposed, based on the bit-error rate analysis. With this new rule, the fully adaptive MLSE equalizer is shown to outperform existing fixed-delay equalizers when channel statistics are unknown. Simulation studies confirm that the performance is close to the analytic bounds.

Original languageEnglish
Pages (from-to)976-981
Number of pages6
JournalIEEE Transactions on Wireless Communications
Issue number3
Publication statusPublished - May 2004
Externally publishedYes


  • Adaptive equalization
  • Channel estimation
  • Fading channels
  • Fast fading
  • Frequency selective fading


Dive into the research topics of 'Performance improvements from decision-delay adaption in adaptive MLSE equalizers'. Together they form a unique fingerprint.

Cite this